![[Maturing]](figures/lifecycle-maturing.svg)
A fictional dataset, for testing and learning purposes, composed of basic/measurable and computed variables of the Munich ChronoType Questionnaire (MCTQ) shift version.
This data was created following the guidelines in Juda, Vetter, & Roenneberg (2013), in addition to the guidelines found in Roenneberg, Wirz-Justice, & Merrow (2003), Roenneberg, Allebrandt, Merrow, & Vetter (2012), Jankowski (2017), and The Worldwide Experimental Platform (n.d.). See the References and Details sections to learn more.
Format
A tibble with 135 columns and 50 rows:
- id
A unique
integervalue to identify each respondent in the dataset.
Type: Control.
R class:integer.- n_w_m
Number of days worked in morning shifts within a shift cycle.
Type: Basic.
R class:integer.- bt_w_m
Local time of going to bed on workdays between two morning shifts.
Statement (EN): "I go to bed at ___ o'clock'".
Type: Basic.
R class:hms.- sprep_w_m
Local time of preparing to sleep on workdays between two morning shifts.
Statement (EN): "I actually get ready to fall asleep at ___ o'clock".
Type: Basic.
R class:hms.- slat_w_m
Sleep latency or time to fall asleep after preparing to sleep on workdays between two morning shifts.
Statement (EN): "I need ___ minutes to fall asleep".
Type: Basic.
R class:Duration.- so_w_m
Local time of sleep onset on workdays between two morning shifts.
Type: Computed.
R class:hms.- se_w_m
Local time of sleep end on workdays between two morning shifts.
Statement (EN): "I wake up at ___ o'clock".
Type: Basic.
R class:hms.- tgu_w_m
Time to get up on workdays between two morning shifts.
Statement (EN): "I get up after ___ minutes".
Type: Basic.
R class:Duration.- gu_w_m
Local time of getting out of bed on workdays between two morning shifts.
Type: Computed.
R class:hms.- alarm_w_m
A
logicalvalue indicating if the respondent uses an alarm clock to wake up on workdays between two morning shifts.
Statement (EN): "I wake up at ___ o'clock: ( ___ ) with alarm ( ___ ) without alarm".
Type: Basic.
R class:logical.- reasons_w_m
A
logicalvalue indicating if the respondent has any particular reasons for why they cannot freely choose their sleep times on workdays between two morning shifts.
Statement (EN): "There are particular reasons why I cannot freely choose my sleep times on morning shifts: Yes ( ___ ) No ( ___ )".
Type: Basic.
R class:logical.- reasons_why_w_m
Particular reasons for why the respondent cannot freely choose their sleep times on workdays between two morning shifts.
Statement (EN): "If "Yes": Child(ren)/pet(s) ( ___ ) Hobbies ( ___ ) Others, for example: ___".
Type: Basic.
R class:character.- sd_w_m
Sleep duration on workdays between two morning shifts.
Type: Computed.
R class:Duration.- tbt_w_m
Total time in bed on workdays between two morning shifts.
Type: Computed.
R class:Duration.- msw_m
Local time of mid-sleep on workdays between two morning shifts.
Type: Computed.
R class:hms.- nap_w_m
A
logicalvalue indicating if the respondent usually takes a nap on workdays between two morning shifts.
Statement (EN): "I usually take a nap: Yes ( ___ ) No ( ___ )".
Type: Basic.
R class:logical.- napo_w_m
Local time of nap onset on workdays between two morning shifts.
Statement (EN): "If "Yes": I take a nap from ___ o'clock to ___ o'clock".
Type: Basic.
R class:hms.- nape_w_m
Local time of nap end on workdays between two morning shifts.
Statement (EN): "If "Yes": I take a nap from ___ o'clock to ___ o'clock".
Type: Basic.
R class:hms.- napd_w_m
Nap duration on workdays between two morning shifts.
Type: Computed.
R class:Duration.- sd24_w_m
24 hours sleep duration (sleep duration + nap duration) on workdays between two morning shifts.
Type: Computed.
R class:Duration.- n_f_m
Number of free days after working in morning shifts within a shift cycle.
Type: Basic.
R class:integer.- bt_f_m
Local time of going to bed on work-free days between two free days after morning shifts.
Statement (EN): "I go to bed at ___ o'clock'".
Type: Basic.
R class:hms.- sprep_f_m
Local time of preparing to sleep on work-free days between two free days after morning shifts.
Statement (EN): "I actually get ready to fall asleep at ___ o'clock".
Type: Basic.
R class:hms.- slat_f_m
Sleep latency or time to fall asleep after preparing to sleep on work-free days between two free days after morning shifts.
Statement (EN): "I need ___ minutes to fall asleep".
Type: Basic.
R class:Duration.- so_f_m
Local time of sleep onset on work-free days between two free days after morning shifts.
Type: Computed.
R class:hms.- se_f_m
Local time of sleep end on work-free days between two free days after morning shifts.
Statement (EN): "I wake up at ___ o'clock".
Type: Basic.
R class:hms.- tgu_f_m
Time to get up on work-free days between two free days after morning shifts.
Statement (EN): "I get up after ___ minutes".
Type: Basic.
R class:Duration.- gu_f_m
Local time of getting out of bed on work-free days between two free days after morning shifts.
Type: Computed.
R class:hms.- alarm_f_m
A
logicalvalue indicating if the respondent uses an alarm clock to wake up on work-free days between two free days after morning shifts.
Statement (EN): "I wake up at ___ o'clock: ( ___ ) with alarm ( ___ ) without alarm".
Type: Basic.
R class:logical.- reasons_f_m
A
logicalvalue indicating if the respondent has any particular reasons for why they cannot freely choose their sleep times on work-free days between two free days after morning shifts.
Statement (EN): "There are particular reasons why I cannot freely choose my sleep times on morning shifts: Yes ( ___ ) No ( ___ )".
Type: Basic.
R class:logical.- reasons_why_f_m
Particular reasons for why the respondent cannot freely choose their sleep times on work-free days between two free days after morning shifts.
Statement (EN): "If "Yes": Child(ren)/pet(s) ( ___ ) Hobbies ( ___ ) Others, for example: ___".
Type: Basic.
R class:character.- sd_f_m
Sleep duration on work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- tbt_f_m
Total time in bed on work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- msf_m
Local time of mid-sleep on work-free days between two free days after morning shifts.
Type: Computed.
R class:hms.- nap_f_m
A
logicalvalue indicating if the respondent usually takes a nap on work-free days between two free days after morning shifts.
Statement (EN): "I usually take a nap: Yes ( ___ ) No ( ___ )".
Type: Basic.
R class:logical.- napo_f_m
Local time of nap onset on work-free days between two free days after morning shifts.
Statement (EN): "If "Yes": I take a nap from ___ o'clock to ___ o'clock".
Type: Basic.
R class:hms.- nape_f_m
Local time of nap end on work-free days between two free days after morning shifts.
Statement (EN): "If "Yes": I take a nap from ___ o'clock to ___ o'clock".
Type: Basic.
R class:hms.- napd_f_m
Nap duration on work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- sd24_f_m
24 hours sleep duration (sleep duration + nap duration) on work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- sd_overall_m
Overall sleep duration considering workdays between two morning shifts and work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- msf_sc_m
Corrected local time of mid-sleep on work-free days between two free days after morning shifts.
Type: Computed.
R class:hms.- sjl_rel_m
Relative social jetlag considering workdays between two morning shifts and work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- sjl_m
Absolute social jetlag considering workdays between two morning shifts and work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- sjl_sc_rel_m
Jankowski's relative sleep-corrected social jetlag considering workdays between two morning shifts and work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- sjl_sc_m
Jankowski's sleep-corrected social jetlag considering workdays between two morning shifts and work-free days between two free days after morning shifts.
Type: Computed.
R class:Duration.- ...
For brevity, the subsequent variables, except for sjl_weighted and sjl_sc_weighted (described below), are not shown here. That's because they have the same configurations of the variables shown above, differing only by shift (evening shift (
_e) and night shift (_n)).- sjl_weighted
Absolute social jetlag across all shifts.
Type: Computed.
R class:Duration.
#' - sjl_sc_weighted
Jankowski's sleep-corrected social jetlag across all shifts.
Type: Computed.
R class:Duration.
Details
shift_mctq is a tidied, validated, and transformed version of
raw_data("shift_mctq.csv").
Guidelines
To learn more about the Munich ChronoType Questionnaire (MCTQ), see Roenneberg, Wirz-Justice, & Merrow (2003), Roenneberg, Allebrandt, Merrow, & Vetter (2012), Roenneberg et al. (2015), and Roenneberg, Pilz, Zerbini, & Winnebeck (2019).
To know about different MCTQ versions, see Juda, Vetter, & Roenneberg (2013) and Ghotbi et al. (2020).
To learn about the sleep-corrected social jetlag, see Jankowski (2017).
If you're curious about the variable computations and want to have access to the full questionnaire, see The Worldwide Experimental Platform (n.d.).
Data building and data wrangling
This dataset was created by randomized sampling (see
random_mctq()) and by manual insertions of special
cases. Its purpose is to demonstrate common cases and data issues that
researchers may find in their MCTQ data, in addition to be a suggested data
structure for MCTQ data.
You can see the shift_mctq build and data wrangling processes
here.
Variable naming
The naming of the variables took into account the naming scheme used in MCTQ publications, in addition to the guidelines of the tidyverse style guide.
Variable classes
The mctq package works with a set of object classes specially created to
hold time values. These classes can be found in the hms
and lubridate package.
Duration objects
If you prefer to view Duration objects as
hms objects, run
pretty_mctq(shift_mctq).
References
Ghotbi, N., Pilz, L. K., Winnebeck, E. C., Vetter, C., Zerbini, G., Lenssen, D., Frighetto, G., Salamanca, M., Costa, R., Montagnese, S., & Roenneberg, T. (2020). The \(\mu\)MCTQ: an ultra-short version of the Munich ChronoType Questionnaire. Journal of Biological Rhythms, 35(1), 98-110. doi:10.1177/0748730419886986
Jankowski K. S. (2017). Social jet lag: sleep-corrected formula. Chronobiology International, 34(4), 531-535. doi:10.1080/07420528.2017.1299162
Juda, M., Vetter, C., & Roenneberg, T. (2013). The Munich ChronoType Questionnaire for shift-workers (MCTQ\(^{Shift}\)). Journal of Biological Rhythms, 28(2), 130-140. doi:10.1177/0748730412475041
Roenneberg T., Allebrandt K. V., Merrow M., & Vetter C. (2012). Social jetlag and obesity. Current Biology, 22(10), 939-43. doi:10.1016/j.cub.2012.03.038
Roenneberg, T., Keller, L. K., Fischer, D., Matera, J. L., Vetter, C., & Winnebeck, E. C. (2015). Human activity and rest in situ. In A. Sehgal (Ed.), Methods in Enzymology (Vol. 552, pp. 257-283). Academic Press. doi:10.1016/bs.mie.2014.11.028
Roenneberg, T., Pilz, L. K., Zerbini, G., & Winnebeck, E. C. (2019). Chronotype and social jetlag: a (self-) critical review. Biology, 8(3), 54. doi:10.3390/biology8030054
Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003). Life between clocks: daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18(1), 80-90. doi:10.1177/0748730402239679
The Worldwide Experimental Platform (n.d.). MCTQ. https://www.thewep.org/documentations/mctq/
See also
Other datasets:
micro_mctq,
std_mctq